This talk occurred at DWeb Camp 2023 at Camp Navarro, CA. It was given by Zacchaeus Scheffer.Link to SCHED
Machine learning can be thought of as a class of algorithms which distill data into knowledge. This has created huge incentives for companies to hoard massive amounts of (often private) user data in order to obtain the knowledge stored therein. The decentralized web paradigm resists this trend and rightly tries to protect user data. In this talk, Zacchaeus describes this, as well as design considerations when trying to deploy such a framework.